Academic literature on the topic 'Resource allocating'

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Journal articles on the topic "Resource allocating"

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Edavalath, Sheena, and Manikandasaran S. Sundaram. "MARCR: Method of allocating resources based on cost of the resources in a heterogeneous cloud environment." Scientific Temper 14, no. 03 (2023): 576–81. http://dx.doi.org/10.58414/scientifictemper.2023.14.3.03.

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The cloud is an intelligent technology that provides requested services to users. It offers unlimited services for the users. Many small and medium-scale industries are startup their businesses to the next level using cloud computing. The services have been provided to the users by allocating the requested resources. Allocating resources without waste and with the finest allocation is a critical task in the cloud. This paper proposes a method for allocating resources using the cost of the resource. Resource allocation follows a priority system when allocating resources. The proposed method giv
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Edavalath, Sheena, and Manikandasaran S. Sundaram. "Cost-based resource allocation method for efficient allocation of resources in a heterogeneous cloud environment." Scientific Temper 14, no. 04 (2023): 1339–44. http://dx.doi.org/10.58414/scientifictemper.2023.14.4.41.

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Cloud computing is appealing due to features like adaptability, portability, utility service and on-demand service. Cloud resource providers are a source of computing, and each provider delivers different types of resources. In an active cloud environment, timely resource allocation is more important. In order to increase the effectiveness and user-friendliness of resource allocation in the heterogeneous cloud, the paper suggests an efficient cost-based resource allocation (ECRA) method and framework. In the heterogeneous cloud, there is no centralized resource allocation manager (CRAM) to get
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Dolgov, D. A., and E. H. Durfee. "Resource Allocation Among Agents with MDP-Induced Preferences." Journal of Artificial Intelligence Research 27 (December 26, 2006): 505–49. http://dx.doi.org/10.1613/jair.2102.

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Allocating scarce resources among agents to maximize global utility is, in general, computationally challenging. We focus on problems where resources enable agents to execute actions in stochastic environments, modeled as Markov decision processes (MDPs), such that the value of a resource bundle is defined as the expected value of the optimal MDP policy realizable given these resources. We present an algorithm that simultaneously solves the resource-allocation and the policy-optimization problems. This allows us to avoid explicitly representing utilities over exponentially many resource bundle
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Gaurav, Raj1 Ankit Nischal2. "Efficient Resource Allocation in Resource provisioning policies over Resource Cloud Communication Paradigm." International Journal on Cloud Computing: Services and Architecture(IJCCSA) 2, June (2018): 01–08. https://doi.org/10.5281/zenodo.1438579.

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Optimal resource utilization for executing tasks within the cloud is one of the biggest challenges. In executing the task over a cloud, the resource provisioner is responsible for providing the resources to create virtual machines. To utilize the resources optimally, the resource provisioner has to take care of the process of allocating resources to Virtual Machine Manager (VMM). In this paper, an efficient way to utilize the resources, within the cloud, to create virtual machines has been proposed considering optimum cost based on performance factor. This performance factor depends upon the o
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Zheng, Junjun. "Optimization of Resource Allocation of University Innovation and Entrepreneurship Education Based on Collaborative Filtering Algorithm." Journal of Electrical Systems 20, no. 3s (2024): 1853–62. http://dx.doi.org/10.52783/jes.1724.

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Entrepreneurship education resource allocation involves the strategic distribution of resources to support programs and initiatives aimed at fostering entrepreneurial skills and mindset among students. These resources can include funding, faculty support, curriculum development, mentorship opportunities, and access to networks and facilities. Effective resource allocation ensures that entrepreneurship education programs are adequately equipped to provide students with the knowledge, skills, and support needed to succeed as entrepreneurs. By prioritizing resource allocation to areas such as exp
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Wang, Yanyan, and Baiqing Sun. "A Multiobjective Allocation Model for Emergency Resources That Balance Efficiency and Fairness." Mathematical Problems in Engineering 2018 (October 14, 2018): 1–8. http://dx.doi.org/10.1155/2018/7943498.

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Efficiency and fairness are two important goals of disaster rescue. However, the existing models usually unilaterally consider the efficiency or fairness of resource allocation. Based on this, a multiobjective emergency resource allocation model that can balance efficiency and fairness is proposed. The object of the proposed model is to minimize the total allocating costs of resources and the total losses caused by insufficient resources. Then the particle swarm optimization is applied to solve the model. Finally, a computational example is conducted based on the emergency relief resource allo
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Ma, Ding, M. Onderwater, F. Wetzels, et al. "Cost-Efficient Allocation of Additional Resources for the Service Placement Problem in Next-Generation Internet." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/517409.

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One of the major challenges in next-generation Internet is to allocate services to nodes in the network. This problem, known as theservice placement problem, can be solved by layered graph approach. However, due to the existence of resource bottleneck, the requests are rejected from the beginning in the resource constrained network. In this paper we propose two iterative algorithms for efficient allocation of additional resources in order to improve the ratio of accepted service placement requests. To this end, we (1) introduce a new concept of sensitivity for each service node to locate the b
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M, Sumathi, Niranjana B, Akshaya C, Ajitha M, and Bhavadharanee M. "Round Robin Based Efficient Resource Allocation and Utilization in an Organization." International Research Journal of Multidisciplinary Technovation 2, no. 2 (2020): 16–22. http://dx.doi.org/10.34256/irjmt2023.

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In an organization, resource allocation to a request is a complex task. Traditionally, resource allocation is done through manually with high time consumption. Similarly, collision is occurring for allocating a single resource to multiple requests. Thus, leads to complex problems and slow-down the working process. The existing resource allocation technique, allocate resources continuously to a specific request and omit another request. This kind of allocation technique also leads to lots of critical issues. That is the non-allocated process never gets a resource. To overcome these issues, the
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Chen, Chao, Changjun Fan, and Xingxing Liang. "A Multiobjective Resource Allocation Algorithm for Robust Project Scheduling." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7701–4. http://dx.doi.org/10.1166/jctn.2016.4426.

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Resource allocation is an important procedure which involves allocating finite resources to the activities of a given baseline schedule. Based on the conception of Pareto Optimization, a multiobjective optimization approach for the resource allocation problem is proposed in this paper. The problem is first described. Then the detailed procedure of the proposed algorithm is given. Finally, an extensive computational results obtained on a set of benchmark problems are reported.
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Deng, Hongyu, Cheng Wu, and Yiming Wang. "A cognitive gateway-based spectrum sharing method in downlink round robin scheduling of LTE system." Modern Physics Letters B 31, no. 19-21 (2017): 1740070. http://dx.doi.org/10.1142/s021798491740070x.

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A key technique of LTE is how to allocate efficiently the resource of radio spectrum. Traditional Round Robin (RR) scheduling scheme may lead to too many resource residues when allocating resources. When the number of users in the current transmission time interval (TTI) is not the greatest common divisor of resource block groups (RBGs), and such a phenomenon lasts for a long time, the spectrum utilization would be greatly decreased. In this paper, a novel spectrum allocation scheme of cognitive gateway (CG) was proposed, in which the LTE spectrum utilization and CG’s throughput were greatly i
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Dissertations / Theses on the topic "Resource allocating"

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Ramanan, Amirthalingam. "Designing a resource-allocating codebook for patch-based visual object recognition." Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/159175/.

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The state-of-the-art approach in visual object recognition is the use of local information extracted at several points or image patches from an image. Local information at specific points can deal with object shape variability and partial occlusions. The underlying idea is that, in different images, the statistical distribution of the patches is different, which can be effectively exploited for recognition. In such a patch-based object recognition system, the key role of a visual codebook is to provide a way to map the low-level features into a fixed-length vector in histogram space to which s
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Ahlén, Niclas. "ARAVQ som datareducerare för en klassificeringsuppgift inom datautvinning." Thesis, University of Skövde, School of Humanities and Informatics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-928.

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<p>Adaptive Resource Allocating Vector Quantizer (ARAVQ) är en teknik för datareducering för mobila robotar. Tekniken har visats framgångsrik i enkla miljöer och det har spekulerats i att den kan fungera som ett generellt datautvinningsverktyg för tidsserier. I rapporten presenteras experiment där ARAVQ används som datareducerare på en artificiell respektive en fysiologisk datamängd inom en datautvinningskontext. Dessa datamängder skiljer sig från tidigare robotikmiljöer i och med att de beskriver objekt med diffusa eller överlappande gränser i indatarymden. Varje datamängd klassificeras efter
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Kroshl, William M. "Allocation of Resources to Defend Spatially Distributed Networks Using Game Theoretic Allocations." Thesis, The George Washington University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3669710.

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<p> This dissertation presents research that focuses on efficient allocation of defense resources to minimize the damage inflicted on a spatially distributed physical network such as a pipeline, water system, or power distribution system from an attack by an active adversary. The allocation methodology recognizes the fundamental difference between preparing for natural disasters such as hurricanes, earthquakes, or even accidental systems failures and the problem of allocating resources to defend against an opponent who is aware of and anticipating the defender's efforts to mitigate the threat
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Teslyuk, Nataliya. "Natural resources: a curse or a blessing? Political incentives in the resource allocation (example of gazprom)." Thesis, Видавництво СумДУ, 2007. http://essuir.sumdu.edu.ua/handle/123456789/13105.

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In my presentation I will reflect on whether politicians (in particular Russian ones) tend to over-extract the natural resources, because of the boundaries to their short-term power and the willingness to satisfy the needs of the population during the period when they are in control; this strategy can contradict effective path in the medium, and long run. There is a model developed to answer to this questions by the scientists of Norwegian University of Science and Technology, James A. Robinson, Ragnar Torvik, and Thierry Verdier which can be applied to Russia as well, but interestingly there
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AuYoung, Alvin. "Practical market-based resource allocation." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p3397175.

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Thesis (Ph. D.)--University of California, San Diego, 2010.<br>Title from first page of PDF file (viewed March 29, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 146-155).
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Choueiry, Berthe Y. Choueiry Berthe Yazid. "Abstraction methods for resource allocation /." [S.l.] : [s.n.], 1994. http://library.epfl.ch/theses/?nr=1292.

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Muñoz, i. Solà Víctor. "Robustness on resource allocation problems." Doctoral thesis, Universitat de Girona, 2011. http://hdl.handle.net/10803/7753.

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En problemes d'assignació de recursos, normalment s'han de tenir en compte les incerteses que poden provocar canvis en les dades inicials. Aquests canvis dificulten l'aplicabilitat de les planificacions que s'hagin fet inicialment.<br/>Aquesta tesi se centra en l'elaboració de tècniques que consideren la incertesa alhora de cercar solucions robustes, és a dir solucions que puguin continuar essent vàlides encara que hi hagi canvis en l'entorn. Particularment, introduïm el concepte de robustesa basat en reparabilitat, on una solució robusta és una que pot ser reparada fàcilment en cas que hi hag
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Tureli, Didem Kivanc. "Resource allocation for multicarrier communications /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/6068.

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Lai, John Kwang. "Truthful and Fair Resource Allocation." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10928.

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How should we divide a good or set of goods among a set of agents? There are various constraints that we can consider. We consider two particular constraints. The first is fairness - how can we find fair allocations? The second is truthfulness - what if we do not know agents valuations for the goods being allocated? What if these valuations need to be elicited, and agents will misreport their valuations if it is beneficial? Can we design procedures that elicit agents' true valuations while preserving the quality of the allocation? We consider truthful and fair resource allocation procedures th
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Reid, Jane Margaret. "Resource allocation during avian incubation." Thesis, University of Glasgow, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392460.

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Books on the topic "Resource allocating"

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Saarinen, Phyllis Park. Allocating water under scarcity conditions in Florida: Evaluation and prospectus. Food and Resource Economics Dept., Florida Agricultural Experiment Stations, Institute of Food and Agricultural Sciences, University of Florida, 1993.

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Estelle, Gilman, and University of Birmingham. Institute of Public and Environmental Health., eds. Resource allocation & health needs: From research to policy : proceedings of a conference held to consider assessment of health care needs in relation to framing policies for allocating resources in the Health Service. H.M.S.O., 1994.

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Steenburgh, Thomas. Allocating marketing resources. Harvard Business School, 2008.

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Chambers, Jay G. Measuring resources in education: From accounting to the resource cost model approach. U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 1999.

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Humber, James M., and Robert F. Almeder, eds. Allocating Health Care Resources. Humana Press, 1995. http://dx.doi.org/10.1007/978-1-59259-447-4.

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Santos, Brian L. Dos. Allocating information systems resources. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1990.

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Ushakov, Igor A., ed. Optimal Resource Allocation. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118400715.

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Luss, Hanan. Equitable Resource Allocation. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118449189.

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Langholtz, Harvey J., Antoinette T. Marty, Christopher T. Ball, and Eric C. Nolan. Resource-Allocation Behavior. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1131-1.

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1948-, Langholtz Harvey J., ed. Resource-allocation behavior. Kluwer Academic Publishers, 2003.

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Book chapters on the topic "Resource allocating"

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Livenson, Ilja, Ahti Saar, Marina Adomeit, et al. "Federated Resource Allocation for HPC Services." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86240-3_9.

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Abstract This paper presents an implementation of a federated resource allocation system (Puhuri), which offers a full set of functions from the application phase for computing infrastructure resources to consumption reporting. The implementation is based on the Puhuri project of Nordic e-Infrastructure Collaboration (NeIC) [1]. Shared research infrastructures, particularly high-performance computers, necessitate a robust mechanism for allocating resources in accordance with predefined policies. An allocation serves as authorisation to utilise a system in an agreed-upon manner. The impact of P
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Kirk, David B., Jay K. Strosnider, and John E. Sasinowski. "Allocating Smart Cache Segments for Schedulability." In Foundations of Real-Time Computing: Scheduling and Resource Management. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3956-8_9.

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Vasilecas, Olegas, Kestutis Normantas, Toma Rusinaite, Titas Savickas, and Tadas Vysockis. "Shared Resource Model for Allocating Resources to Activities in BP Simulation." In Communications in Computer and Information Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46254-7_18.

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Tabuchi, Toshihisa, Seiichi Ozawa, and Asim Roy. "An Autonomous Learning Algorithm of Resource Allocating Network." In Intelligent Data Engineering and Automated Learning - IDEAL 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04394-9_17.

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Linåker, Fredrik, and Lars Niklasson. "Sensory Flow Segmentation Using a Resource Allocating Vector Quantizer." In Advances in Pattern Recognition. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44522-6_88.

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Pertselakis, Minas, Natali Raouzaiou, and Andreas Stafylopatis. "An Adaptive Resource Allocating Neuro-Fuzzy Inference System with Sensitivity Analysis Resource Control." In IFIP Advances in Information and Communication Technology. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0221-4_59.

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Gebrealif, Yodit, Mohammed Mubarkoot, Jörn Altmann, and Bernhard Egger. "Architecture for Orchestrating Containers in Cloud Federations." In Economics of Grids, Clouds, Systems, and Services. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92916-9_6.

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AbstractContainerization technology helps achieving not only better portability and interoperability but also better performance and efficiency on various cloud computing arrangements. Such technology is expected to empower cloud federations by enhancing portability and scalability across the federation. In this paper, we propose an architecture by adding two subcomponents to the NIST reference architecture for identifying resources and managing container orchestration in cloud federation environments. The architecture adds two subcomponents to the NIST reference architecture. The proposed two
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Ciancia, Vincenzo, and Matteo Sammartino. "A Class of Automata for the Verification of Infinite, Resource-Allocating Behaviours." In Trustworthy Global Computing. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45917-1_7.

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Ribeiro, Bernardete, Ricardo Quintas, and Noel Lopes. "Evaluation of a Resource Allocating Network with Long Term Memory Using GPU." In Adaptive and Natural Computing Algorithms. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20267-4_5.

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Ozawa, Seiichi, and Keisuke Okamoto. "An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression." In Neural Information Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10677-4_64.

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Conference papers on the topic "Resource allocating"

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Lee, Dongjoon, Jongin Choe, Chanyoung Park, Kyungtae Kang, Mahmut Kandemir, and Wonil Choi. "An Autonomic Resource Allocating SSD." In 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2024. http://dx.doi.org/10.23919/date58400.2024.10546802.

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Udomvorakulchai, Veerawat, Miguel Pineda, and Eric S. Fraga. "Introducing Competition in a Multi-Agent System for Hybrid Optimization." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.132182.

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Process systems engineering optimization problems may be challenging. These problems often exhibit nonlinearity, non-convexity, discontinuity, and uncertainty, and often only the values of objective and constraint functions are accessible. Additionally, some problems may be computationally expensive. In such scenarios, black-box optimization methods may be appropriate to tackle such problems. A general-purpose multi-agent framework for optimization has been developed to automate the configuration and use of hybrid optimization, allowing for multiple optimization solvers, including different in
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Kupcs, Raimonds, and Arnis Lenerts. "REGULATORY FRAMEWORK OF RESOURCE MANAGEMENT IN EDUCATION SYSTEM: A COMPREHENSIVE ANALYSIS." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s02/15.

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The constant need to ensure the efficient use of resources, especially in the period of a challenging geopolitical situation, when the mobilization of resources in every sector of the national economy is of decisive importance, while not allowing the quality of educational services to decrease. The regulatory framework governing resource management within education system of Latvia is a multifaceted construct crucial for ensuring efficient allocation and utilization of resources. This paper provides an in-depth examination of the overall regulatory framework, emphasizing its intricate layers a
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Richards, Robert A. "Reduced Project Duration via Intelligent Scheduling for Ship Production/Repair." In SNAME Maritime Convention. SNAME, 2022. http://dx.doi.org/10.5957/smc-2022-055.

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Ship and submarine production and repair have benefited significantly from more intelligently allocating resources and managing other constraints, thereby increasing efficiency, and reducing overall project duration. In complex production and repair environments, such as ship production/repair, the method of allocating resources and managing other constraints significantly affects the efficiency of progress and thus the overall project duration. Resources include human resources, equipment resources and physical-space resources. Due to the inherent complexity of resource allocation and constra
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Kyropoulou, Maria, Warut Suksompong, and Alexandros A. Voudouris. "Almost Envy-Freeness in Group Resource Allocation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/57.

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We study the problem of fairly allocating indivisible goods between groups of agents using the recently introduced relaxations of envy-freeness. We consider the existence of fair allocations under different assumptions on the valuations of the agents. In particular, our results cover cases of arbitrary monotonic, responsive, and additive valuations, while for the case of binary valuations we fully characterize the cardinalities of two groups of agents for which a fair allocation can be guaranteed with respect to both envy-freeness up to one good (EF1) and envy-freeness up to any good (EFX). Mo
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Bott, Terry F., and Stephen W. Eisenhawer. "A Structured Approach to Resource Allocation." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2998.

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Allocating limited resources among competing candidates is an important problem in management. In this paper, we describe a structured and flexible approach to resource allocation using logic-evolved decision (LED) analysis. LED analysis uses logic models to generate an exhaustive set of competing alternatives and the inferential model that is used for preference ordering of these alternatives. The inferential models can use data in numerical, linguistic, or mixed forms; uncertainty in the evaluation results can be expressed using probabilistic- or linguistic-based methods. We illustrate the u
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Kumar, Praveen, Priyavrat Singh Yadav, Kashish Bhutani, Nagma Arora, Deepanshu Jain, and Bhawesh Dabas. "Allocating resource dynamically in cloud computing." In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS). IEEE, 2017. http://dx.doi.org/10.1109/ictus.2017.8286014.

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Richards, Robert A. "Reduced Project Duration & Improved Critical Resource Determination via Intelligent Scheduling: Navy and Other Applications." In SNAME Maritime Convention. SNAME, 2012. http://dx.doi.org/10.5957/smc-2012-p40.

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In complex production and maintenance environments, such as ship production, the method of allocating resources and managing other constraints significantly affects the efficiency of progress as well as the overall project duration. Resources include human resources, equipment resources and physical-space resources. Due to the inherent complexity of resource allocation and constraint management for such complex production and maintenance environments, the project durations can be two-times, or more, longer than needed. Unfortunately, most commercial project management software does not benefit
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Yuen, Sheung Man, and Warut Suksompong. "Approximate Envy-Freeness in Graphical Cake Cutting." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/326.

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We study the problem of fairly allocating a divisible resource in the form of a graph, also known as graphical cake cutting. Unlike for the canonical interval cake, a connected envy-free allocation is not guaranteed to exist for a graphical cake. We focus on the existence and computation of connected allocations with low envy. For general graphs, we show that there is always a 1/2-additive-envy-free allocation and, if the agents' valuations are identical, a (2+\epsilon)-multiplicative-envy-free allocation for any \epsilon &gt; 0. In the case of star graphs, we obtain a multiplicative factor of
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Nag, Arindam, and Joydeep Ghosh. "Flexible resource-allocating network for noisy data." In Aerospace/Defense Sensing and Controls, edited by Steven K. Rogers, David B. Fogel, James C. Bezdek, and Bruno Bosacchi. SPIE, 1998. http://dx.doi.org/10.1117/12.304846.

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Reports on the topic "Resource allocating"

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Hornig, Constance, and Sandra Cointreau. Global Review of Economic Instruments for Solid Waste Management in Latin America. Inter-American Development Bank, 2003. http://dx.doi.org/10.18235/0006681.

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There is a strong relationship between economic instruments and the polluter-pays principle. That principle involves allocating costs of waste management services, resource consumption, and pollution control to consumers and producers. Inherent in this principle, the polluter bears all internal and external environmental costs, with the goal that all subsidies for resource use, production and waste management services are eliminated.
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Desai, Jairaj, Jijo K. Mathew, Woosung Kim, et al. Dashboards for Real-time Monitoring of Winter Operations Activities and After-action Assessment. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317252.

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The Indiana Department of Transportation (INDOT) operates a fleet of nearly 1100 snowplows and spends up to $60M annually on snow removal and de-icing as part of their winter operation maintenance activities. Systematically allocating resources and optimizing material application rates can potentially save revenue that can be reallocated for other roadway maintenance operations. Modern snowplows are beginning to be equipped with a variety of Mobile Road Weather Information Sensors (MARWIS) which can provide a host of analytical data characterizing on-the-ground conditions during periods of win
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Atal, Juan Pablo, Úrsula Giedion, Catalina Gutiérrez, and Natalia Jorgensen. What is the Opportunity Cost of Financing Branded Drugs?: The case of the Dominican Republic. Inter-American Development Bank, 2023. https://doi.org/10.18235/0012896.

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The availability of numerous beneficial healthcare technologies presents both an opportunity and a challenge: while they have the potential to improve health outcomes, financial constraints limit their widespread adoption. This challenge is further exacerbated by an aging population and shifting epidemiological trends, which place increasing pressure on global healthcare expenditures. To ensure that rising healthcare costs translate into meaningful improvements in population health, it is essential that spending remains sustainable, does not displace other critical investments, and aligns with
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Elacqua, Gregory, Mateus Rodrigues, and Leonardo Rosa. IImpact of Monetary Incentives on Teacher Decisions to Leave and Choose Schools: Evidence from a Policy Reform in Sao Paulo. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013366.

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Teacher turnover is a major challenge for human resource management in schools, adversely affecting student learning. We examine the impact of a monetary incentive program introduced in 2022 in the city of Sao Paulo, Brazil, which aims to reduce teacher turnover by allocating wage premiums ranging from 5% to 25% of base salary based on schools turnover levels. Our results show a significant reduction in turnover: an average decrease of 18% across all schools, with an even more pronounced 30% reduction in schools offering higher incentives. Notably, the program also attracted new teachers to th
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Jones, P. Resource Allocation, Control, and Accounting for the Use of Network Resources. RFC Editor, 1992. http://dx.doi.org/10.17487/rfc1346.

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Stokes, Brian J., and Gregory S. Parnell. Alternate Resource Allocation Techniques. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405460.

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Raw, Silvia, and Jose Ignacio Sembler. Approach Paper: Evaluation of the Fund for Special Operations During the Eighth Replenishment (1994-2010): Part II. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0010424.

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OVE has carried out two Fund for Special Operations (FSO) evaluations. The first, "Oversight Note on the Performance Criteria for Allocating Concessional Resources" (RE-279), was presented to the Board of Executive Directors in 2003 and provided a preliminary review of the new performance-related allocation criteria introduced in 2002. In October 2010 OVE presented the "Evaluation of the Fund for Special Operations during the Eighth Replenishment (1994-2010) - Part I" (RE-376), in anticipation of the FSO replenishment through IDB-9. This document focused primarily on the implications of the ch
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Zilberman, David, and Eithan Hochman. Price Evaluation and Allocation of Water under Alternative Water Rights System - Part II. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7573067.bard.

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This project is a continuation of US 2081-91. Together they develop a conceptual and empirical framework to analyze alternative forms of water reform that lead to efficient pricing of water. Our analysis demonstrates that the transition from water rights systems to water trading may lead to improved resource allocation even when overall availability of water resources declines. We introduce two systems of water trading, passive markets and active markets, and show that passive markets lead to efficient resource allocation with lower transaction costs. We demonstrate that both methods of tradin
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Müller, Benito. Performance-based formulaic resource allocation. Oxford Institute for Energy Studies, 2014. http://dx.doi.org/10.26889/9781907555862.

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Hansen, Jeff, Scott Hissam, B. C. Meyers, et al. Resource Allocation in Dynamic Environments. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada609913.

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